Supply Chain Performance Analytics Lead
AI in this role
Description -
Job Summary
The Supply Chain Performance Analytics Lead is responsible for ensuring the accuracy, consistency, relevance, and effective governance of key performance indicators that support Service Supply Chain decision-making. This role serves as a critical bridge between business stakeholders, functional subject matter experts, and technical data teams to define, validate, maintain, and continuously improve operational metrics and reporting outputs. The position drives proactive data quality monitoring, supports KPI issue resolution, enables clear performance communications for leadership forums, and contributes business context to the design and adoption of new metrics as organizational needs evolve.
Main Responsibilities
- Own the stewardship of Service Supply Chain Operational Performance KPIs, including definition, enablement, maintenance, accuracy, timeliness, and ongoing relevance to business needs.
- Serve as the subject matter expert for performance metrics, bridging business requirements and technical implementation across Service Supply Chain functional SMEs and the Data Enablement organization.
- Lead the identification, prioritization, and resolution of KPI-related issues, ensuring root causes are understood and corrective actions are implemented effectively.
- Execute proactive quality assurance for Operational KPIs through regular monitoring, validation, and tracking of metric health, data integrity, and reporting accuracy.
- Communicate KPI issues, risks, dependencies, and resolution plans clearly and proactively to functional stakeholders, business owners, and technical partners.
- Evaluate and propose improvements to metric logic, reporting processes, automation, data quality controls, and governance practices to increase accuracy, efficiency, and scalability.
- Test and validate change requests, enhancements, and new metric implementations to ensure they meet approved business definitions and technical requirements.
- Provide guidance to business owners and stakeholders on KPI interpretation, metric definitions, performance trends, and appropriate use of reporting outputs.
- Partner with cross-functional teams to document metric definitions, business rules, ownership models, assumptions, limitations, and governance processes.
- Support continuous improvement initiatives by identifying reporting gaps, process inefficiencies, and opportunities to enhance performance visibility and decision-making.
- Manages priority projects by adding creative insights and developing recommendations.
- Mentors junior-level staff and establishes guidelines for the mentorship programs.
Education & Experience Recommended
- Four-year or Graduate Degree in Supply Chain Management, Manufacturing Engineering, Operations management, Business Administration, or any other related discipline or commensurate work experience or demonstrated competence.
- Typically has 7-10 years of work experience, preferably in supply chain, operations, or a related field.
Experience and Qualifications
- Strong understanding of end-to-end supply chain operations, preferably within services, support, or regional operations environments.
- Demonstrated experience working with operational performance metrics, KPI governance, business rules, and data quality management.
- Experience translating business requirements into metric logic, reporting specifications, dashboards, or analytical outputs.
- Proficiency with Power BI, including report development, data visualization, metric validation, and dashboard usability best practices.
- Working knowledge of data management concepts, database structures, data validation, and reporting data flows.
- Strong automation and process improvement mindset, with experience using tools such as Power Automate, Power Query, Excel, SQL, or similar technologies preferred.
- Ability to analyze complex data issues, identify root causes, and partner with technical teams to drive sustainable resolutions.
- Strong stakeholder management and communication skills, with the ability to engage both technical and non-technical audiences.
- Process-oriented mindset with demonstrated ability to standardize, document, and improve recurring operational processes.
- Lean Six Sigma, process improvement, analytics, or data governance certifications are a plus.
Impact & Scope
• Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
Complexity
• Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.
Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Job -
Supply Chain & OperationsSchedule -
Full timeShift -
No shift premium (Mexico)Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"
How we rate this
Supply Chain Performance Analytics Lead at HP rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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